Peer Review History

Original SubmissionAugust 25, 2022
Decision Letter - Brij Bhooshan Gupta, Editor

PONE-D-22-23772Realtime detection and categorization of longitudinal cracks in conveyor belt using deep-learning approachPLOS ONE

Dear Dr. Dwivedi,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please submit your revised manuscript by Nov 28 2022 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.
  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.
  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols.

We look forward to receiving your revised manuscript.

Kind regards,

Brij Bhooshan Gupta

Academic Editor

PLOS ONE

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When you resubmit, please ensure that you provide the correct grant numbers for the awards you received for your study in the ‘Funding Information’ section.

4. Thank you for stating the following in the Acknowledgments Section of your manuscript: 

"This study is supported by Tokyo Kizai Kogyo co. ltd. and University of Tokyo, Japan. The authors declare no conflict of interest. We acknowledge Mr. Takeshi Hosokawa of Tokyo Kizai Kogyo Co., Ltd. and Mr. Tsuneo Koike of Ando Hazama Corporation for their cooperation in filming the continuous belt conveyor of this research."

We note that you have provided funding information that is not currently declared in your Funding Statement. However, funding information should not appear in the Acknowledgments section or other areas of your manuscript. We will only publish funding information present in the Funding Statement section of the online submission form. 

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7. Please amend the manuscript submission data (via Edit Submission) to include authors Ashutosh  Kumar and Yoshihide Sekimoto.   

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Partly

Reviewer #2: Yes

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: No

Reviewer #2: Yes

**********

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: No

Reviewer #2: Yes

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: No

Reviewer #2: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: I found the paper a little difficult to read because of the inconsistent use of good language and the ambiguous way the topic was presented. Particularly in this work, the presentation quality needs to be improved. By fully rewriting the content, an accomplished English-language author may significantly improve this document. I have the following ideas to improve this essay:

-Describe your contribution better.

-The literature review is sufficient, but the authors should organise them more effectively.

-Review the following articles to strengthen the paper's technical foundation:

Handling Data Scarcity Through Data Augmentation in Training of Deep Neural Networks for 3D Data Processing, Improved Semantic Representation Learning by Multiple Clustering for Image-Based 3D Model Retrieval,Optimization of the Wake-Up Scheduling Using a Hybrid of Memetic and Tabu Search Algorithms for 3D-Wireless Sensor Networks, Unobtrusive academic emotion recognition based on facial expression using rgb-d camera using adaptive-network-based fuzzy inference system (ANFIS),Accelerating 3D medical volume segmentation using GPUs

– Carefully correct all errors in this paper.

-Improve the paper's connections and overall flow.

Reviewer #2: The Author has made an effort to proposed Realtime detection and categorization of longitudinal cracks in conveyor belt using deep-learning approach.

Title is needed to relook and make it more appropriate in the view of contribution. Further, in the abstract, author relook its flow and highlight the key contributions.

• Paper should be strictly according to the journal template.

• Improve the figure quality.

• Add some comparison results and discussion.

• Give a comparison from previous work.

• Check for grammar and spellings.

• Literature review section need to be added.

• Result and discussion part is required to be improved.

• State the novelty of your work.

• The overall manuscript should be checked for typos, syntax, and grammar to improve the quality of content flow and presentation

• More Number of References Should be added in your article

**********

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

**********

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

Revision 1

Dear Brij Bhooshan Gupta,

Academic Editor,

PLOS ONE.

Warm regards. I sincerely thank you for informing the referees’ reports on our initial article titled “Realtime detection and categorization of longitudinal cracks in conveyor belt using deep-learning approach” (PONE-D-22-23772). I thank you and both the referees for their valuable time and constructive remarks. Following their comments to the letters, we have significantly modified the article presenting a completely new method of conveyor belt damage identification. Please find below the answers to all the questions raised by the referees on a point-by-point format.

Reviewer: 1

Comment: I found the paper a little difficult to read because of the inconsistent use of good language and the ambiguous way the topic was presented. Particularly in this work, the presentation quality needs to be improved. By fully rewriting the content, an accomplished English-language author may significantly improve this document. I have the following ideas to improve this essay:

Reply: Thank you very much for your constructive criticism and suggestions. We have modified our manuscript in accordance with your suggestions.

-Describe your contribution better.

Reply: The corrections have been incorporated and highlighted in the revised manuscript.

-The literature review is sufficient, but the authors should organise them more effectively.

Reply: Following your suggestion, we have added a new literature review section in the article to make the manuscript more coherent.

-Review the following articles to strengthen the paper's technical foundation:

Handling Data Scarcity Through Data Augmentation in Training of Deep Neural Networks for 3D Data Processing, Improved Semantic Representation Learning by Multiple Clustering for Image-Based 3D Model Retrieval, Optimization of the Wake-Up Scheduling Using a Hybrid of Memetic and Tabu Search Algorithms for 3D-Wireless Sensor Networks, Unobtrusive academic emotion recognition based on facial expression using rgb-d camera using adaptive-network-based fuzzy inference system (ANFIS),Accelerating 3D medical volume segmentation using GPUs

Reply: We have carefully reviewed the mentioned papers and cited them in our revised manuscript.

– Carefully correct all errors in this paper.

Reply: We have carefully proofread our manuscript for submission.

-Improve the paper's connections and overall flow.

Reply: We have revised our manuscript to present a clear outlook and subject flow.

Reviewer: 2

Comment: The Author has made an effort to proposed Realtime detection and categorization of longitudinal cracks in conveyor belt using deep-learning approach.

Title is needed to relook and make it more appropriate in the view of contribution. Further, in the abstract, author relook its flow and highlight the key contributions.

• Paper should be strictly according to the journal template.

Reply: We have revised our manuscript as per the journal template.

• Improve the figure quality.

Reply: We have improved figure quality.

• Add some comparison results and discussion.

Reply: We have added comparison results and discussions.

• Give a comparison from previous work.

Reply: We have added and highlighted in our main text.

• Check for grammar and spellings.

Reply: We have carefully proofread for possible grammar and spelling errors.

• Literature review section need to be added.

Reply: We have added and highlighted Literature review section.

• Result and discussion part is required to be improved.

Reply: We have improved results and discussion sections to give better prospects to the reader.

• State the novelty of your work.

Reply: We have highlighted the novelty in the revised text.

• The overall manuscript should be checked for typos, syntax, and grammar to improve the quality of content flow and presentation

Reply: The typos, syntax and grammar have been improved.

• More Number of References Should be added in your article

Reply: We have cited more references.

I once again sincerely thank you and both the referees for their time, effort and constructive suggestions. Addressing their concerns, we have thoroughly revised the manuscript and we hope it meets the high standard of PLOS One journal. Thank you very much.

Sincerely yours,

Uttam Kumar Dwivedi

Attachments
Attachment
Submitted filename: Dwivediet al_BelconAI_Rebuttal Letter_12112022.docx
Decision Letter - Brij Bhooshan Gupta, Editor

PONE-D-22-23772R1Real-time classification of longitudinal conveyor belt cracks with deep-learning approachPLOS ONE

Dear Dr. Dwivedi,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please submit your revised manuscript by Apr 15 2023 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.
  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.
  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.
If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols.

We look forward to receiving your revised manuscript.

Kind regards,

Brij Bhooshan Gupta

Academic Editor

PLOS ONE

Journal Requirements:

Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: (No Response)

Reviewer #2: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Partly

Reviewer #2: Partly

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: No

Reviewer #2: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: No

Reviewer #2: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: I found the topic of your research to be interesting and relevant. However, I have identified some issues that require your attention. Firstly, I recommend that you expand your literature review to include more recent and relevant sources. i suggest a few like: An edge-AI based forecasting approach for improving smart microgrid efficiency, A multimodal, multimedia point-of-care deep learning framework for COVID-19 diagnosis, Service orchestration of optimizing continuous features in industrial surveillance using big data based fog-enabled internet of things, A novel approach for phishing URLs detection using lexical based machine learning in a real-time environment

Also, ensure that your introduction clearly and effectively contextualizes your research question. Furthermore, I noticed some inconsistencies in the data presented, which need to be addressed. Please review your results and ensure that they are presented clearly.

Finally, I have observed some minor issues with grammar and syntax that need to be addressed.

Reviewer #2: The Author has incorporated all the suggestions given in first review with respect to the made an effort to proposed Realtime detection and categorization of longitudinal cracks in conveyor belt using deep-learning approach

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

**********

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

Revision 2

Reviewer: 1

Comment: I found the topic of your research to be interesting and relevant. However, I have identified some issues that require your attention. Firstly, I recommend that you expand your literature review to include more recent and relevant sources. i suggest a few like: An edge-AI based forecasting approach for improving smart microgrid efficiency, A multimodal, multimedia point-of-care deep learning framework for COVID-19 diagnosis, Service orchestration of optimizing continuous features in industrial surveillance using big data based fog-enabled internet of things, A novel approach for phishing URLs detection using lexical based machine learning in a real-time environment

Also, ensure that your introduction clearly and effectively contextualizes your research question. Furthermore, I noticed some inconsistencies in the data presented, which need to be addressed. Please review your results and ensure that they are presented clearly.

Finally, I have observed some minor issues with grammar and syntax that need to be addressed:

Reply: Thank you very much for your constructive criticism and suggestions. We understand your concerns regarding the expansion of literature review with the mentioned articles. However the mentioned articles don’t fit in our current discussion and are out of context to our study of damage detection in conveyor belts or in construction sites.

Throughout our introduction we focused on addressing the research question: “How can edge AI-based deep learning framework be used to detect and track damages on long conveyor belts in real-time without halting the mucking process and ensure safety and productivity at mountain tunnel construction sites?” We have clearly mentioned this in our revised manuscript and highlighted.

Also, we have followed and addressed your earlier comments, which mentioned the literature review being sufficient and in need of better organizations. So at this stage we request you to kindly consider the manuscript literature section as it is. This is in-sync with the Reviewer 2.

We have carefully analysed our method statement and results. We are quite confident on our presentation. However, if you would kindly be more precise on which part of data presentation contains inconsistencies, we are ready to address and answer.

We have carefully proofread the manuscript and checked it through the professional software as well for spellings and grammar. We are happy for further proofread formalities if mentioned specifically.

Reviewer: 2

Comment: The Author has incorporated all the suggestions given in first review with respect to the made an effort to proposed Realtime detection and categorization of longitudinal cracks in conveyor belt using deep-learning approach

Reply: We are delighted to receive positive response. We are grateful for all your efforts.

I once again sincerely thank you and both the referees for their time, effort and constructive suggestions. Addressing their concerns, we have thoroughly revised the manuscript and we hope it meets the high standard of PLOS One journal. Thank you very much.

Sincerely yours,

Uttam Kumar Dwivedi

Attachments
Attachment
Submitted filename: Dwivediet al_BelconAI_Rebuttal Letter_03222023.docx
Decision Letter - Brij Bhooshan Gupta, Editor

Real-time classification of longitudinal conveyor belt cracks with deep-learning approach

PONE-D-22-23772R2

Dear Dr. Dwivedi,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Brij Bhooshan Gupta

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: No

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: The author has incorporated all the suggestions and properly answered all the query that have been raised due to review.

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

**********

Formally Accepted
Acceptance Letter - Brij Bhooshan Gupta, Editor

PONE-D-22-23772R2

Real-time classification of longitudinal conveyor belt cracks with deep-learning approach

Dear Dr. Dwivedi:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Brij Bhooshan Gupta

Academic Editor

PLOS ONE

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